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Machine learning model boosts success of liver transplants from circulatory death donors
There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a ...
There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a ...
Machine learning algorithms find patterns in human movement data collected by continuous monitoring, yielding insights that ...
AI’s Emerging Role in Healthcare Artificial intelligence is significantly reshaping healthcare as more advanced machine learning algorithms and foundation models become available. It’s impacting ...
People often take walking for granted. We just move, one step after another, without ever thinking about what it takes to ...
IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...
Researchers say the study indicates the ability to bring the power of AI and patient-reported outcomes directly into the clinic seamlessly, affordably, and at scale.
Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.
Discover how Subrahmanyasarma Chitta's IoT-based healthcare system is revolutionizing global medicine through real-time ...
Dementia poses an increasing global health challenge, and the introduction of new drugs with diverse activity profiles ...
News-Medical.Net on MSN
Empowering early detection of dementia with a dual approach involving AI and patient input
Few primary care practices are designed for the timely detection of Alzheimer's disease and related dementias. The limited ...
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